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Applications of quantum field theory to problems in machine learning : advanced techniques based on path integrals / Harish Parthasarathy.
- Format:
- Book
- Author/Creator:
- Parthasarathy, Harish, author.
- Language:
- English
- Subjects (All):
- Quantum field theory.
- Machine learning.
- Path integrals.
- Physical Description:
- 1 online resource (xviii, 376 pages)
- Place of Publication:
- Abingdon, Oxon : CRC Press, 2026.
- Contents:
- 1. QNN Using Renormalization of Fields and Supersymmetric Field Theory 2. Quantum Neural Networks: Scattering, Superconductivity, MRI, and EEG Modeling 3. QNNs with Noisy Harmonic Oscillators, Strings, and Gravitational Control 4. Adaptive Beamforming and QNNs for Evolving Brain and Field Models 5. Quantum Noisy Fields and Supersymmetric Effects: QNNs with Mixed-State Dynamics in Superstring Theory 6. Quantum Fields, Signal Theory, and QNNs via Symmetry-Broken Dynamics 7. Quantum Field Theory with Noise, Filters, Scattering, and Curved Spacetime 8. Quantum Field Theory with Noise, Filters, Scattering, and Curved Spacetime 9. QNNs and EKF for Transmission Line Control and Field Estimation
- Notes:
- Electronic reproduction. London Available via World Wide Web.
- Online resource; title from PDF title page (Taylor & Francis, viewed April 14, 2026).
- Online resource; title from pdf information screen (Taylor and Francis, viewed April 14, 2026)
- Other Format:
- Print version :
- ISBN:
- 9781003783572
- 1003783570
- 9781040930366
- 1040930360
- 9781040930335
- 1040930336
- Publisher Number:
- 90104916411
- CIPO000359922
- Access Restriction:
- Restricted for use by site license.
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